Publication
Oracle for guidance with deep neural networks in reusable launch vehicle landing
| dc.contributor.author | Igreja, José | |
| dc.contributor.author | Lemos, Joao M | |
| dc.date.accessioned | 2023-05-08T10:44:00Z | |
| dc.date.available | 2023-05-08T10:44:00Z | |
| dc.date.issued | 2022-08-18 | |
| dc.description.abstract | Oracles are of paramount importance for Deep Neural Networks training. In this paper, an oracle developed for landing reusable launch vehicles is created from a linearizing feedback control law that can perform a prescribed landing trajectory tracking. The oracle is then used to train a Deep Neural Network that can be used as a guidance system for landing maneuvers. Verification is performed by Monte-Carlo. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | IGREJA, J. M.; LEMOS, J. M. – Oracle for guidance with deep neural networks in reusable launch vehicle landing. Lisbon, Portugal: IEEE, 2022. ISBN 978-1-6654-9794-7. Pp. 1-6. | pt_PT |
| dc.identifier.doi | 10.1109/ICCAD55197.2022.9854017 | pt_PT |
| dc.identifier.eissn | 2767-9896 | |
| dc.identifier.isbn | 978-1-6654-9794-7 | |
| dc.identifier.isbn | 978-1-6654-9795-4 | |
| dc.identifier.issn | 2767-987X | |
| dc.identifier.uri | http://hdl.handle.net/10400.21/15990 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9854017 | pt_PT |
| dc.subject | Neural networks | pt_PT |
| dc.subject | Oracles for training | pt_PT |
| dc.subject | Feedback linearizing | pt_PT |
| dc.subject | Reusable launch vehicle | pt_PT |
| dc.title | Oracle for guidance with deep neural networks in reusable launch vehicle landing | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | 13-15 July 2022 - Lisbon, Portugal | pt_PT |
| oaire.citation.endPage | 6 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | 2022 International Conference on Control, Automation and Diagnosis (ICCAD) | pt_PT |
| person.familyName | Igreja | |
| person.familyName | Lemos | |
| person.givenName | José | |
| person.givenName | Joao M | |
| person.identifier.ciencia-id | 2A1F-EABF-BE5D | |
| person.identifier.ciencia-id | D41E-256A-27FC | |
| person.identifier.orcid | 0000-0002-8196-2935 | |
| person.identifier.orcid | 0000-0003-3149-8035 | |
| person.identifier.rid | B-2754-2008 | |
| person.identifier.scopus-author-id | 15925332300 | |
| person.identifier.scopus-author-id | 7102699767 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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